def extract_patches(ibs, aid_list, fxs_list=None, patch_size=None, colorspace=None):
"""
Example:
>>> # DISABLE_DOCTEST
>>> from ibeis_cnn.ingest_ibeis import * # NOQA
>>> ut.show_if_requested()
"""
depc = ibs.depc
kpts_list = depc.d.get_feat_kpts(aid_list)
if fxs_list is None:
fxs_list = [slice(None)] * len(kpts_list)
kpts_list_ = ut.ziptake(kpts_list, fxs_list)
chip_list = depc.d.get_chips_img(aid_list)
# convert to approprate colorspace
if colorspace is not None:
chip_list = vt.convert_image_list_colorspace(chip_list, colorspace)
# ut.print_object_size(chip_list, 'chip_list')
patch_size = 64
patches_list = [
vt.get_warped_patches(chip, kpts, patch_size=patch_size)[0]
for chip, kpts in ut.ProgIter(zip(chip_list, kpts_list_),
nTotal=len(aid_list),
lbl='warping patches')
]
return patches_list
def get_patches(invassign, wx):
ax_list = invassign.wx2_axs[wx]
fx_list = invassign.wx2_fxs[wx]
config = invassign.fstack.config
ibs = invassign.fstack.ibs
unique_axs, groupxs = vt.group_indices(ax_list)
fxs_groups = vt.apply_grouping(fx_list, groupxs)
unique_aids = ut.take(invassign.fstack.ax2_aid, unique_axs)
all_kpts_list = ibs.depc.d.get_feat_kpts(unique_aids, config=config)
sub_kpts_list = vt.ziptake(all_kpts_list, fxs_groups, axis=0)
chip_list = ibs.depc_annot.d.get_chips_img(unique_aids)
# convert to approprate colorspace
#if colorspace is not None:
# chip_list = vt.convert_image_list_colorspace(chip_list, colorspace)
# ut.print_object_size(chip_list, 'chip_list')
patch_size = 64
grouped_patches_list = [
vt.get_warped_patches(chip, kpts, patch_size=patch_size)[0]
for chip, kpts in ut.ProgIter(zip(chip_list, sub_kpts_list),
nTotal=len(unique_aids),
lbl='warping patches')
]
# Make it correspond with original fx_list and ax_list
word_patches = vt.invert_apply_grouping(grouped_patches_list, groupxs)
return word_patches
def get_patches(inva, wx, ibs, verbose=True):
"""
Loads the patches assigned to a particular word in this stack
>>> inva.wx_to_aids = inva.compute_inverted_list()
>>> verbose=True
"""
config = inva.config
aid_list = inva.wx_to_aids[wx]
X_list = [inva.get_annot(aid) for aid in aid_list]
fxs_groups = [X.fxs(wx) for X in X_list]
all_kpts_list = ibs.depc.d.get_feat_kpts(aid_list, config=config)
sub_kpts_list = vt.ziptake(all_kpts_list, fxs_groups, axis=0)
total_patches = sum(ut.lmap(len, fxs_groups))
chip_list = ibs.depc_annot.d.get_chips_img(aid_list, config=config)
# convert to approprate colorspace
# if colorspace is not None:
# chip_list = vt.convert_image_list_colorspace(chip_list, colorspace)
# ut.print_object_size(chip_list, 'chip_list')
patch_size = 64
shape = (total_patches, patch_size, patch_size, 3)
_prog = ut.ProgPartial(enabled=verbose, lbl='warping patches', bs=True)
_patchiter = ut.iflatten(
[
vt.get_warped_patches(chip, kpts, patch_size=patch_size)[0]
# vt.get_warped_patches(chip, kpts, patch_size=patch_size, use_cpp=True)[0]
for chip, kpts in _prog(
zip(chip_list, sub_kpts_list), length=len(aid_list)
)
]
)
word_patches = vt.fromiter_nd(_patchiter, shape, dtype=np.uint8)
return word_patches
def extract_patches(ibs,
aid_list,
fxs_list=None,
patch_size=None,
colorspace=None):
"""
Example:
>>> # DISABLE_DOCTEST
>>> from ibeis_cnn.ingest_ibeis import * # NOQA
>>> ut.show_if_requested()
"""
depc = ibs.depc
kpts_list = depc.d.get_feat_kpts(aid_list)
if fxs_list is None:
fxs_list = [slice(None)] * len(kpts_list)
kpts_list_ = ut.ziptake(kpts_list, fxs_list)
chip_list = depc.d.get_chips_img(aid_list)
# convert to approprate colorspace
if colorspace is not None:
chip_list = vt.convert_image_list_colorspace(chip_list, colorspace)
# ut.print_object_size(chip_list, 'chip_list')
patch_size = 64
patches_list = [
vt.get_warped_patches(chip, kpts, patch_size=patch_size)[0]
for chip, kpts in ut.ProgIter(zip(chip_list, kpts_list_),
nTotal=len(aid_list),
lbl='warping patches')
]
return patches_list
def get_patches(invassign, wx):
ax_list = invassign.wx2_axs[wx]
fx_list = invassign.wx2_fxs[wx]
config = invassign.fstack.config
ibs = invassign.fstack.ibs
unique_axs, groupxs = vt.group_indices(ax_list)
fxs_groups = vt.apply_grouping(fx_list, groupxs)
unique_aids = ut.take(invassign.fstack.ax2_aid, unique_axs)
all_kpts_list = ibs.depc.d.get_feat_kpts(unique_aids, config=config)
sub_kpts_list = vt.ziptake(all_kpts_list, fxs_groups, axis=0)
chip_list = ibs.depc_annot.d.get_chips_img(unique_aids)
# convert to approprate colorspace
#if colorspace is not None:
# chip_list = vt.convert_image_list_colorspace(chip_list, colorspace)
# ut.print_object_size(chip_list, 'chip_list')
patch_size = 64
grouped_patches_list = [
vt.get_warped_patches(chip, kpts, patch_size=patch_size)[0]
for chip, kpts in ut.ProgIter(zip(chip_list, sub_kpts_list),
nTotal=len(unique_aids),
lbl='warping patches')
]
# Make it correspond with original fx_list and ax_list
word_patches = vt.invert_apply_grouping(grouped_patches_list, groupxs)
return word_patches
def extract_patches(annots, aid, fxs):
""" custom_func(lazydict, key, subkeys) for multigroup_lookup """
annot = annots[aid]
kpts = annot['kpts']
rchip = annot['rchip']
kpts_m = kpts.take(fxs, axis=0)
warped_patches, warped_subkpts = vt.get_warped_patches(
rchip, kpts_m, patch_size=patch_size)
return warped_patches
def extract_patches(annots, aid, fxs):
""" custom_func(lazydict, key, subkeys) for multigroup_lookup """
annot = annots[aid]
kpts = annot['kpts']
rchip = annot['rchip']
kpts_m = kpts.take(fxs, axis=0)
warped_patches, warped_subkpts = vt.get_warped_patches(rchip, kpts_m,
patch_size=patch_size)
return warped_patches